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add enviroment specific installation of shm
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#!/bin/bash | ||
# Copyright 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved. | ||
# | ||
# Redistribution and use in source and binary forms, with or without | ||
# modification, are permitted provided that the following conditions | ||
# are met: | ||
# * Redistributions of source code must retain the above copyright | ||
# notice, this list of conditions and the following disclaimer. | ||
# * Redistributions in binary form must reproduce the above copyright | ||
# notice, this list of conditions and the following disclaimer in the | ||
# documentation and/or other materials provided with the distribution. | ||
# * Neither the name of NVIDIA CORPORATION nor the names of its | ||
# contributors may be used to endorse or promote products derived | ||
# from this software without specific prior written permission. | ||
# | ||
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY | ||
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | ||
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR | ||
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR | ||
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, | ||
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, | ||
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR | ||
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY | ||
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | ||
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | ||
RET=0 | ||
set -e | ||
if [ ${PYTHON_ENV_VERSION} = "10" ]; then | ||
echo No need to set up anything for default python3.${PYTHON_ENV_VERSION} | ||
exit $RET | ||
fi | ||
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source common.sh | ||
source ../common/util.sh | ||
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SERVER=/opt/tritonserver/bin/tritonserver | ||
BASE_SERVER_ARGS="--model-repository=`pwd`/models --log-verbose=1 --disable-auto-complete-config" | ||
PYTHON_BACKEND_BRANCH=$PYTHON_BACKEND_REPO_TAG | ||
SERVER_ARGS=$BASE_SERVER_ARGS | ||
SERVER_LOG="./inference_server.log" | ||
export PYTHON_ENV_VERSION=${PYTHON_ENV_VERSION:="10"} | ||
RET=0 | ||
EXPECTED_VERSION_STRINGS="" | ||
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rm -fr ./models | ||
rm -rf *.tar.gz | ||
install_build_deps | ||
install_conda | ||
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# Test other python versions | ||
conda update -n base -c defaults conda -y | ||
# Create a model with python 3.8 version | ||
# Successful execution of the Python model indicates that the environment has | ||
# been setup correctly. | ||
if [ ${PYTHON_ENV_VERSION} = "8" ]; then | ||
create_conda_env "3.8" "python-3-8" | ||
conda install -c conda-forge libstdcxx-ng=12 -y | ||
conda install numpy=1.23.4 -y | ||
conda install tensorflow=2.10.0 -y | ||
EXPECTED_VERSION_STRING="Python version is 3.8, NumPy version is 1.23.4, and Tensorflow version is 2.10.0" | ||
create_python_backend_stub | ||
conda-pack -o python3.8.tar.gz | ||
path_to_conda_pack="$PWD/python-3-8" | ||
mkdir -p $path_to_conda_pack | ||
tar -xzf python3.8.tar.gz -C $path_to_conda_pack | ||
mkdir -p models/python_3_8/1/ | ||
cp ../python_models/python_version/config.pbtxt ./models/python_3_8 | ||
(cd models/python_3_8 && \ | ||
sed -i "s/^name:.*/name: \"python_3_8\"/" config.pbtxt && \ | ||
echo "parameters: {key: \"EXECUTION_ENV_PATH\", value: {string_value: \"$path_to_conda_pack\"}}">> config.pbtxt) | ||
cp ../python_models/python_version/model.py ./models/python_3_8/1/ | ||
cp python_backend/builddir/triton_python_backend_stub ./models/python_3_8 | ||
fi | ||
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# Create a model with python 3.9 version | ||
# Successful execution of the Python model indicates that the environment has | ||
# been setup correctly. | ||
if [ ${PYTHON_ENV_VERSION} = "9" ]; then | ||
create_conda_env "3.9" "python-3-9" | ||
conda install -c conda-forge libstdcxx-ng=12 -y | ||
conda install numpy=1.23.4 -y | ||
conda install tensorflow=2.10.0 -y | ||
EXPECTED_VERSION_STRING="Python version is 3.9, NumPy version is 1.23.4, and Tensorflow version is 2.10.0" | ||
create_python_backend_stub | ||
conda-pack -o python3.9.tar.gz | ||
path_to_conda_pack="$PWD/python-3-9" | ||
mkdir -p $path_to_conda_pack | ||
tar -xzf python3.9.tar.gz -C $path_to_conda_pack | ||
mkdir -p models/python_3_9/1/ | ||
cp ../python_models/python_version/config.pbtxt ./models/python_3_9 | ||
(cd models/python_3_9 && \ | ||
sed -i "s/^name:.*/name: \"python_3_9\"/" config.pbtxt && \ | ||
echo "parameters: {key: \"EXECUTION_ENV_PATH\", value: {string_value: \"$path_to_conda_pack\"}}">> config.pbtxt) | ||
cp ../python_models/python_version/model.py ./models/python_3_9/1/ | ||
cp python_backend/builddir/triton_python_backend_stub ./models/python_3_9 | ||
fi | ||
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# Create a model with python 3.11 version | ||
# Successful execution of the Python model indicates that the environment has | ||
# been setup correctly. | ||
if [ ${PYTHON_ENV_VERSION} = "11" ]; then | ||
create_conda_env "3.11" "python-3-11" | ||
# tensorflow needs to be installed before numpy so pip does not mess up conda | ||
# environment | ||
pip install tensorflow==2.12.0 | ||
conda install -c conda-forge libstdcxx-ng=12 -y | ||
conda install numpy=1.23.5 -y | ||
EXPECTED_VERSION_STRING="Python version is 3.11, NumPy version is 1.23.5, and Tensorflow version is 2.12.0" | ||
create_python_backend_stub | ||
conda-pack -o python3.11.tar.gz | ||
path_to_conda_pack="$PWD/python-3-11" | ||
mkdir -p $path_to_conda_pack | ||
tar -xzf python3.11.tar.gz -C $path_to_conda_pack | ||
mkdir -p models/python_3_11/1/ | ||
cp ../python_models/python_version/config.pbtxt ./models/python_3_11 | ||
(cd models/python_3_11 && \ | ||
sed -i "s/^name:.*/name: \"python_3_11\"/" config.pbtxt && \ | ||
echo "parameters: {key: \"EXECUTION_ENV_PATH\", value: {string_value: \"$path_to_conda_pack\"}}">> config.pbtxt) | ||
cp ../python_models/python_version/model.py ./models/python_3_11/1/ | ||
cp python_backend/builddir/triton_python_backend_stub ./models/python_3_11 | ||
fi | ||
# copy the stub out to /opt/tritonserver/backends/python/triton_python_backend_stub | ||
cp python_backend/builddir/triton_python_backend_stub /opt/tritonserver/backends/python/triton_python_backend_stub | ||
conda deactivate | ||
rm -rf ./miniconda | ||
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# test that | ||
set +e | ||
run_server | ||
if [ "$SERVER_PID" == "0" ]; then | ||
echo -e "\n***\n*** Failed to start $SERVER\n***" | ||
cat $SERVER_LOG | ||
exit 1 | ||
fi | ||
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kill $SERVER_PID | ||
wait $SERVER_PID | ||
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grep "$EXPECTED_VERSION_STRING" $SERVER_LOG | ||
if [ $? -ne 0 ]; then | ||
cat $SERVER_LOG | ||
echo -e "\n***\n*** $EXPECTED_VERSION_STRING was not found in Triton logs. \n***" | ||
RET=1 | ||
fi | ||
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echo "python environment 3.${PYTHON_ENV_VERSION}" | ||
# Set up environment and stub for each test | ||
add-apt-repository ppa:deadsnakes/ppa -y | ||
apt-get update && apt-get -y install \ | ||
"python3.${PYTHON_ENV_VERSION}-dev" \ | ||
"python3.${PYTHON_ENV_VERSION}-distutils" \ | ||
libboost-dev | ||
rm -f /usr/bin/python3 && \ | ||
ln -s "/usr/bin/python3.${PYTHON_ENV_VERSION}" /usr/bin/python3 | ||
pip3 install --upgrade install requests numpy virtualenv | ||
find /opt/tritonserver/qa/pkgs/ -maxdepth 1 -type f -name \ | ||
"tritonclient-*linux*.whl" | xargs printf -- '%s[all]' | \ | ||
xargs pip3 install --upgrade | ||
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# Build triton-shm-monitor for the test | ||
cd python_backend && rm -rf install build && mkdir build && cd build && \ | ||
cmake -DCMAKE_INSTALL_PREFIX:PATH=$PWD/install \ | ||
-DTRITON_COMMON_REPO_TAG:STRING=${TRITON_COMMON_REPO_TAG} \ | ||
-DTRITON_CORE_REPO_TAG:STRING=${TRITON_CORE_REPO_TAG} \ | ||
-DTRITON_BACKEND_REPO_TAG:STRING=${TRITON_BACKEND_REPO_TAG} .. && \ | ||
make -j16 triton-shm-monitor install | ||
cp $PWD/install/backends/python/triton_shm_monitor.cpython-* /opt/tritonserver/qa/common/. | ||
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exit $RET |
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